CN113272852A - Method for acquiring photograph for measuring body size, and body size measuring method, server, and program using same - Google Patents
Method for acquiring photograph for measuring body size, and body size measuring method, server, and program using same Download PDFInfo
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- CN113272852A CN113272852A CN201980085633.8A CN201980085633A CN113272852A CN 113272852 A CN113272852 A CN 113272852A CN 201980085633 A CN201980085633 A CN 201980085633A CN 113272852 A CN113272852 A CN 113272852A
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- 238000000034 method Methods 0.000 title claims abstract description 73
- 238000005259 measurement Methods 0.000 claims abstract description 17
- 239000000284 extract Substances 0.000 claims abstract description 4
- 238000010191 image analysis Methods 0.000 claims description 24
- 238000000605 extraction Methods 0.000 claims description 10
- 238000004458 analytical method Methods 0.000 claims description 7
- 238000004364 calculation method Methods 0.000 claims description 6
- 210000000746 body region Anatomy 0.000 claims description 4
- 230000037237 body shape Effects 0.000 claims description 4
- 238000010586 diagram Methods 0.000 description 10
- 230000006870 function Effects 0.000 description 5
- 230000000694 effects Effects 0.000 description 4
- 238000000691 measurement method Methods 0.000 description 4
- 210000002414 leg Anatomy 0.000 description 3
- 230000037396 body weight Effects 0.000 description 2
- 238000004422 calculation algorithm Methods 0.000 description 2
- 238000004590 computer program Methods 0.000 description 1
- 239000004570 mortar (masonry) Substances 0.000 description 1
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q50/00—Systems or methods specially adapted for specific business sectors, e.g. utilities or tourism
- G06Q50/04—Manufacturing
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- A—HUMAN NECESSITIES
- A41—WEARING APPAREL
- A41H—APPLIANCES OR METHODS FOR MAKING CLOTHES, e.g. FOR DRESS-MAKING OR FOR TAILORING, NOT OTHERWISE PROVIDED FOR
- A41H1/00—Measuring aids or methods
- A41H1/02—Devices for taking measurements on the human body
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- A—HUMAN NECESSITIES
- A41—WEARING APPAREL
- A41H—APPLIANCES OR METHODS FOR MAKING CLOTHES, e.g. FOR DRESS-MAKING OR FOR TAILORING, NOT OTHERWISE PROVIDED FOR
- A41H3/00—Patterns for cutting-out; Methods of drafting or marking-out such patterns, e.g. on the cloth
- A41H3/007—Methods of drafting or marking-out patterns using computers
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q30/00—Commerce
- G06Q30/02—Marketing; Price estimation or determination; Fundraising
- G06Q30/0241—Advertisements
- G06Q30/0251—Targeted advertisements
- G06Q30/0255—Targeted advertisements based on user history
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02P—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
- Y02P90/00—Enabling technologies with a potential contribution to greenhouse gas [GHG] emissions mitigation
- Y02P90/30—Computing systems specially adapted for manufacturing
Abstract
The present invention relates to a picture acquiring method for body size measurement and a body size measuring method using the same, which provides a guide line to a photographing interface of a terminal to acquire an optimum image for body size measurement, extracts an edge portion of a user's body from the acquired image, and acquires a 3D image of the user's body using the extracted image, thereby calculating an accurate body size of the user.
Description
Technical Field
The present invention relates to a method of taking a photograph for body size measurement and a method of measuring body size using the same.
Background
In the past, most people visit a brick-and-mortar store to try on clothes and then purchase the clothes, so that the clothes size is rarely selected by mistake.
However, in recent years, the number of clothes purchased in an online shop has increased dramatically, and in such a case, many cases of mistakenly selecting a size of clothes occur.
Although more and more manufacturers disclose measured dimensions of garments together with photographs of the garments, the problem is that consumers are not aware of their detailed body dimensions.
Of course, most people know their body size and are generally limited to weight and height, but it is difficult to purchase clothes on the internet only by these two kinds of information.
Therefore, in order to implement a technique of comparing the measured size of the clothes and virtually trying on, a method of measuring the accurate body size of the user is required.
Disclosure of Invention
Technical problem to be solved
The present invention for solving the problems as described above is directed to providing a guide line to a photographing interface of a user terminal to allow a user to take a specific posture at a specific distance to photograph the body of the user.
Also, the present invention is directed to extracting the edge (outer contour) of the body of the user using the images captured as above, and using this to acquire a 3D image of the body of the user to acquire the body size.
The technical problems to be solved by the present invention are not limited to the above-described technical problems, and other technical problems not mentioned to be solved will be clearly understood by those skilled in the art from the following description.
(II) technical scheme
In order to solve the above-described technical problem, an image acquisition method for body size measurement is provided according to an embodiment of the present invention, which is a method performed by a server, including the steps of acquiring an image: the method includes acquiring front and side images of a user photographed by a photographing apparatus of a terminal, wherein the images are photographed in a state where a body of the user in a photographing interface of the terminal is located within a range of a guide line displayed on the photographing interface of the terminal.
The guide line is configured to guide a user to take a specific posture at a position spaced apart from a terminal, the guide line is shaped like a front or side of a human body, the front guide line is shaped to guide an arm of the user to open from the body at a predetermined angle and to guide legs of the user to open at a predetermined angle, and the server is configured to adjust the shape and size of the guide line in consideration of body information of the user.
In order to solve the above-described technical problem, there is provided according to an embodiment of the present invention a body size measuring method which is a method of measuring a body size using an image acquired by an image acquiring method for body size measurement, including the steps of: identifying a region corresponding to a user body from the front and side images of the user, and separating and extracting the edge of the identified region from a background; an image analysis module analyzes the extracted edge portion and selects a 3D standard body model corresponding thereto; and acquiring a body size of the user using the selected 3D standard body model, wherein the image analysis module is a method of inputting front, side, and 3D images of a body of a model having different body conditions, thereby learning to generate the 3D standard body model using the front and side images of the body.
And, after the selecting step, further comprising the steps of: the image analysis module corrects the selected 3D standard body model in consideration of at least one of the analysis result of the body information of the user or the analysis result of the edge portion, wherein the acquiring of the body size acquires the body size of the user using the corrected 3D standard body model.
And, characterized in that the server requests a user connected to the server to input whether a weight is changed or not at a predetermined period, and reacquires a body size of the user using a first method of requesting the user to retake the body or a second method of re-correcting the corrected 3D standard body model in consideration of a weight change amount of the user when the weight change is greater than a critical ratio.
And, the extracting step may include the steps of: when it is not recognized that the region of the image corresponding to the user's body or the extracted edge portion does not correspond to the normal body shape, the user is required to re-photograph after correcting the posture or re-photograph after changing clothes.
And, the extracting step further comprises the steps of: determining and removing an image of clothes worn by a user as noise in the identified body region of the user.
In order to solve the above-described technical problem, an image acquisition server for body size measurement according to an embodiment of the present invention includes: an image acquisition module that acquires front and side images of a user photographed by a photographing device of a terminal, wherein the images are photographed in a state where a body of the user in a photographing interface of the terminal is located within a range of a guide line displayed on the photographing interface of the terminal.
In order to solve the above-described technical problem, a body size measurement server according to an embodiment of the present invention is characterized by including: an edge extraction unit that identifies a region corresponding to the body of the user from the front and side images acquired by the body size measurement image acquisition server, and separates and extracts an edge portion of the identified region from the background; an image analysis module for analyzing the extracted edge portion and selecting a corresponding 3D standard body model; and a calculation part acquiring a social size of the user using the selected 3D standard body model, wherein the image analysis module is a method of inputting front, side images and 3D images of a body of a model having different body conditions to learn generation of the 3D standard body model using the front and side images of the body.
In addition to this, other methods, other systems, and computer-readable recording media recording computer programs for executing the methods, which implement the present invention, can be provided.
(III) advantageous effects
According to the present invention as described above, a guide line can be provided to the photographing interface of the terminal to acquire the most suitable image for measuring the body size.
Also, according to the present invention, the edge of the user's body is extracted using the 2D image accurately photographed as above, and a 3D image of the user's body is acquired using this, so that the entire size of the user's body can be accurately measured only through several photographing.
The effects of the present invention are not limited to the above-described effects, and other effects not mentioned will be clearly understood by those skilled in the art from the following description.
Drawings
Fig. 1 is a flowchart of an image acquisition method for body size measurement according to an embodiment of the present invention.
Fig. 2 is a diagram showing a guide line displayed on a photographing interface of a user terminal in the process of acquiring an image.
Fig. 3 is a diagram showing a user taking a body photograph with a terminal.
Fig. 4 is a flowchart of a body size measuring method according to an embodiment of the present invention.
Fig. 5 is a diagram showing a 3D standard body model of a user selected by an image analysis module using a captured image of the user.
Fig. 6 is a block diagram of a server according to an embodiment of the present invention.
Reference signs
100: the server 110: guidance providing module
120: the image acquisition module 130: edge extraction unit
140: the image analysis module 150: calculating part
160: the communication unit 170: database with a plurality of databases
200: guide line 300: terminal device
Detailed Description
The advantages, features and methods of accomplishing the same of the present invention will become apparent from the following detailed description of the embodiments when considered in conjunction with the accompanying drawings. However, the present invention is not limited to the embodiments disclosed below, but may be implemented in various ways different from each other, except that the embodiments are provided for complete disclosure of the present invention and complete notification of the scope of the present invention to those skilled in the art to which the present invention pertains, and the present invention is defined only by the scope of the claims.
The terminology used in the description is for the purpose of describing embodiments and is not intended to be limiting of the invention. In this specification, the singular forms include the plural forms unless specifically mentioned in a sentence. The use of "comprising" and/or "comprising" in the specification does not exclude the presence or addition of at least one other component than the mentioned components. Throughout the specification, the same reference numerals denote the same components, and "and/or" is all combinations including each and at least one of the mentioned components. It will be understood that, although "first," "second," etc. are used to describe various components, such components are not limited to the terms so described. Such terms are only used to distinguish one component from another. Therefore, the first component mentioned below may also be the second component within the technical idea of the present invention.
Unless otherwise defined, all terms (including technical and scientific terms) used herein shall be used in the sense that they can be commonly understood by one of ordinary skill in the art to which this invention belongs. In addition, unless specifically defined otherwise, terms defined in commonly used dictionaries are not ideally or excessively interpreted.
Hereinafter, embodiments of the present invention will be described in detail with reference to the accompanying drawings.
Fig. 1 is a flowchart of an image acquisition method for body size measurement according to an embodiment of the present invention, fig. 2 is a diagram showing a guide line 200 displayed on a photographing interface of a user terminal 300 in the process of acquiring an image, and fig. 3 is a diagram showing a user performing body photographing using the terminal 300.
With reference to fig. 1 to 3, an image acquisition method for body size measurement according to an embodiment of the present invention is explained.
First, the guidance providing module 120 of the server 100 displays the guide line 200 on the photographing interface of the user terminal 300
And (step S100).
Also, the image acquisition module of the server 100 acquires the front of the user photographed by the photographing device of the terminal 300
And a side image (step S150).
In more detail, referring to fig. 3, the front and side images of the user acquired by the image acquisition module of the server 100 are photographed in a state where the body of the user being photographed is located within the range of the guide line 200 in the photographing interface of the terminal 300. In this case, the guide line 200 displayed on the photographing interface of the terminal 300 is to guide the user to be located at a position from the terminal 300 to a specific distance and to take a specific posture.
The server 100 according to an embodiment of the present invention provides a service application stored in a medium to perform a method according to an embodiment of the present invention.
Therefore, the execution by the terminal 300 in the following embodiments of the present invention means the execution by a service application.
As shown in fig. 3, when the user executes the service application and activates the photographing function, the camera of the terminal 300 is activated and the photographing interface is opened. Also, the service application displays the guide line 200 on the photographing interface of the terminal 300 according to the pre-programming.
In this case, in the embodiment of the present invention, the operation in which the guideline 200 is displayed on the photographing interface may be realized by the guidance providing module 120 programmed in the service application provided by the server 100 or the control of the guidance providing module 120 of the server 100 each time the service application is driven. The implementer of the present invention can easily select the embodiment regarding the guidance providing module 120 as described above according to circumstances.
When the user installs and drives a service application for measuring the body size, the guidance providing module 120 displays the guide line 200 on the photographing interface of the terminal 300 through the service application.
Fig. 2 (a) is a diagram showing a front guide line 200 for the user to take a front photograph of the body, and fig. 2 (b) is a diagram showing a side guide line 200 for the user to take a side photograph of the body.
The user confirms the front guide line 200 displayed on the photographing interface of the terminal 300 with the naked eye and adjusts the posture so that his body is positioned within the front guide line 200 as shown in fig. 3, and the guidance providing module 120 senses that the user's body is accurately positioned within the front guide line 200 and automatically photographs the front image of the user.
And, when it is judged that the front image of the user has been correctly acquired, the guidance providing module 120 displays the side guide line 200 on the photographing interface of the terminal 300 to guide the user to change the posture, and automatically acquires the side image of the user when it is judged that the body side of the user has been positioned within the guide line 200.
In this case, the method of the server 100 acquiring the image of the user may employ the automatic acquisition of the image as described above, but various methods such as shooting by setting a timer, shooting by pressing a shooting button by another user, and remote control by the user himself/herself may also be employed.
The order in which the server 100 acquires the front image and the side image is not limited, and the number of images for acquiring the front image or the side image may be changed according to the embodiment of the present invention.
For example, the image acquisition module of the server 100 may acquire images of the left and right sides of the user, or may acquire an image of only one side.
The guide wire 200 according to the embodiment of the present invention is characterized by having a shape in which both arms are opened at a predetermined angle from the body and both legs are opened at a predetermined angle.
The reason why the guide line 200 has the shape as described above is that if the user's arm is attached to the body, it is difficult to distinguish the arm from the body in the image, and many errors occur in the process.
In addition, in this process, if the angle between the arm and the body of the user is set too large, it is difficult to distinguish the body and the arm of the user from each other in the shoulder, and therefore, an error occurs again in this process.
Therefore, the server 100 according to the embodiment of the present invention displays the guideline 20 not simply for locating the user at a specific distance from the terminal 300 and taking a specific posture, but for providing the guideline 200 through a calculated algorithm in order to accurately calculate the body size of the user using the front image and the side image at a later time.
In one embodiment, characterized in that, for said embodiment, the server 100 can receive the height and weight of the user through the terminal 300 and adjust the shape and size of the guide wire 200 taking into account said height and weight.
Therefore, the server 100 is characterized in that the angle of the arm of the guide wire 200 is adjusted in consideration of the body information of the user received through the terminal 300.
In more detail, in the server 100, the higher the weight value input by the user, the thicker the width of the guideline 200 can be set, and the larger the angle of the arm with the body can be.
For example, this is because, when a person having a body weight of 100Kg stands with the arm being spread from the body as in the case of a person having a body weight of 45Kg, the body and the arm may overlap due to the thickness of the body and the arm.
Also, when the weight of the user is greater than the average value, since the body exceeds the guide line 200, an error may occur, and therefore, for the user whose weight is out of the reference range, the guide line 200 is corrected and displayed on the photographing interface.
As described above, the image for the body size measurement method to be described below is acquired by the body size measurement image acquisition method according to the embodiment of the present invention described with fig. 1 to 3.
Hereinafter, a body size measuring method according to an embodiment of the present invention will be described with reference to other drawings.
Fig. 4 is a flowchart of a body size measuring method according to an embodiment of the present invention, and fig. 5 is a diagram illustrating a 3D standard body model of a user selected by the image analysis module 140 using a photographed image of the user.
A body size measuring method according to an embodiment of the present invention will be explained with reference to fig. 4 and 5.
The body size measurement method according to the embodiment of the present invention is performed by the server 100, and measures the body size using the image acquired by the body size measurement-use image acquisition method, which has been explained by fig. 1 to 3.
Therefore, the steps S100 and S150 may be performed as preceding steps before the following step S200 is performed.
First, the edge extracting part 130 of the server 100 recognizes the corresponding user's body from the front and side images of the user
And the edge of the identified region is separated from the background and extracted (step S200).
In more detail, through steps S100 and S150, the front and side images of the user are acquired using the guide line 200, but a background is included in the images in addition to the body of the user, and thus the edge extracting part 130 extracts an edge portion corresponding to a body area of the user from the background to measure the body size of the user.
In this case, the edge extraction section 130 can recognize that the body of the user is located within the guideline 200 in the image, and therefore the accuracy thereof will be greatly improved as compared with the extraction of the edge portion of the body of the user in the ordinary image.
In one embodiment, step S200 may further include the step of the edge extraction part 130 determining and removing the image of the clothes worn by the user as noise in the body region of the user identified in step S200.
The most desirable photographing method is that the user wears clothes capable of highlighting the outer contour of the body to photograph the front and side images, but when the user wears clothes not highlighting the outer contour of the body to photograph, the process of judging the image of the clothes as noise and removing it may be further performed as described above.
After step S200, the image analysis module analyzes the edge portion extracted in step S200 and selects a pair thereof
The corresponding 3D standard body model (step S230).
In this case, the image analysis module 140 is a method of learning to generate a 3D standard body model using front and side images of a body by being input with front, side and 3D images of the body of models having different body conditions.
In more detail, the image analysis module 140 is a method of learning to generate a 3D standard body model by being input with front, side, and 3D images of a model wearing clothes capable of highlighting the appearance of the body when front and side images of a specific user are input, and performs the learning as described above a plurality of times (hundreds, thousands or more times) through images of models having different body conditions, thereby securing the accuracy thereof.
As shown in fig. 5, through the process described above, the image analysis module 140 will select a 3D standard body model of the user.
In one embodiment, in the process of performing step S200, when it is not recognized that the region corresponding to the user' S body in the image or the extracted edge does not correspond to the normal body shape, the server 100 may require the user to re-photograph after correcting the posture or changing the clothes.
In more detail, as described above, when recognition of a body region of a user fails or an extracted edge portion does not correspond to a normal body shape of an ordinary person, the server 100 judges that a photographing posture of the user is incorrect or the user wears clothes that the computer cannot recognize, and requests the user to re-photograph after correcting the posture or replacing other clothes.
After step S230, the image analysis module 140 analyzes the result in consideration of the body information of the userOr the extraction of
At least one of the analysis results of the edge portion corrects the 3D standard body model selected in step S230 (step S)
S250)。
In more detail, the image analysis module 140 corrects the 3D standard body model selected by the image analysis module 140 in step S230 into a 3D model optimized for the user in consideration of at least one of the analysis result of the body information of the user or the analysis result of the edge portion extracted in step S200.
Therefore, the 3D standard body model corrected in step S250 corresponds to the user' S body more accurately than the 3D standard body model selected in step S230.
After step S250, the calculation part 150 obtains the 3D standard body model or the corrected 3D standard body model
The body size of the user is taken (step S290).
Through the above steps S100 to S250, the corrected 3D standard body model is acquired from the 2D image of the user, and thus the calculation part 150 can acquire the sizes of all body parts of the user using this.
Conventionally, only the actual measurement size information of one side such as the chest, total length, and arm length is provided in the case of a top garment, and only the actual measurement size information of one side such as the total length, leg bottom width, waist, and thigh circumference is provided in the case of a bottom garment.
In the method, the body size of the user needs to be measured by the user himself, and errors occur in many cases, so that the situation that the size selection fails is also many.
However, if the present invention as described above is utilized, an accurate 3D standard body model for the user is formed, so that accurate data for the user's body can be secured and an accurate size can be selected.
In addition, the accurate size of all body parts of the user can be calculated by utilizing the 3D standard body model, and furthermore, the clothes can be virtually tried on actually.
In one embodiment, it is characterized in that the server 100 requests a user connected to the server 100 to input whether a change in weight occurs or not at a predetermined cycle, and when the change in weight of the user is greater than a critical ratio, the server 100 reacquires the body size of the user using a first method of requesting the user to re-photograph the body or a second method of re-correcting the corrected 3D standard body model in consideration of the amount of change in weight of the user.
For example, when the server 100 sets the limit ratio to 10% and acquires the 3D standard body model corrected when the user's weight is 60kg, the limit ratio is exceeded by 10% if the user inputs 68kg of weight after 5 months.
Therefore, the server 100 reacquires the body size of the user using the first method or the second method to correspond to the weight change of the user, and thus exerts an effect of reacquiring the body size according to the change even if the weight of the user changes.
Fig. 6 is a block diagram of a server 100 according to an embodiment of the present invention.
The server 100 according to an embodiment of the present invention refers to a main body that executes the body size measurement image acquisition method and the body size measurement method, and includes a guidance providing module 120, an image acquisition module, an edge extraction unit 130, an image analysis module 140, a calculation unit 150, a communication unit 160, and a database 170.
However, in several embodiments, the server 100 may include fewer or more components than those described in FIG. 6.
The guidance providing module 120 displays a guide line 200 guiding the user to take a specific posture at a position located at a specific distance from the terminal 300 on a photographing interface of the terminal 300.
The image acquisition module acquires front and side images of the user photographed by the photographing device of the terminal 300.
In this case, the communication part 160 communicates with the terminal 300 and transmits a control signal to control a service application provided at the terminal 300 and receives an image photographed by the terminal 300.
The image analysis module 140 analyzes the edge portion extracted by the edge extraction part 130 and selects a standard body model corresponding thereto.
In this case, the image analysis module 140 is input with the front, side, and 3D images of the body of the model having different body conditions to learn a method of generating a 3D standard body model using the front and side images of the body.
The calculation part 150 acquires the body size of the user using the 3D standard body model or the corrected 3D standard body model selected through the image analysis module 140.
The database 170 stores body information (height, weight, etc.) of the user input by the user, and stores data such as a 3D standard body model of the user, a corrected 3D standard body model, etc.
The server 100 according to the embodiment of the present invention described above is different from the body-size-measurement-use image acquisition method and the body-size measurement method explained by fig. 1 to 5 only in the category of the invention and the contents are the same, and therefore, the duplicate explanation and example will be omitted.
The method according to an embodiment of the present invention as described above is implemented by a program (or application) for being combined with and executed by a server as hardware, and is stored in a medium.
In order to read a program by the computer to perform the method implemented by the program, the program as described above may include Code encoded by a computer language such as C, C + +, JAVA, and machine language (p.l.) that a processor (CPU) of the computer can read through a device interface of the computer, and the Code may include: a Functional Code (Functional Code) related to a function or the like defining a function required to execute the method; control code associated with execution steps required by a processor of the computer to perform the function according to predetermined steps. In addition, the code may further include memory reference-related code relating to which location (address) of the internal or external memory of the computer additional information or media required for the processor of the computer to perform the function is referred to. In addition, when the processor of the computer needs to communicate with any other computer or server located remotely (Remote), etc., the code may further include communication-related code relating to how the communication module of the computer is used to communicate with any other computer or server located remotely, and what information or media, etc. the communication needs to be sent and received.
The storage medium refers to a medium that semi-permanently stores data and can be read (reading) by a device, and is not a medium that stores data for a short time such as a register, a cache memory, a memory, or the like. Specifically, examples of the storage medium include, but are not limited to, ROM, RAM, CD-ROM, magnetic tape, floppy disks, optical disks, and the like. That is, the program may be stored in various recording media on various servers to which the computer can connect or various recording media on the computer of the user. In addition, the medium is distributed over computer systems connected through a network, and may store the computer readable code in a distributed manner.
The steps of a method or algorithm described in connection with the embodiments disclosed herein may be embodied directly in hardware, in a software module executed by hardware, or in a combination of the two. The software modules may reside in Random Access Memory (RAM), Read Only Memory (ROM), Erasable Programmable ROM (EPROM), Electrically Erasable Programmable ROM (EEPROM), Flash Memory (Flash Memory), a hard disk, a removable disk, a CD-ROM, or any form of computer readable recording medium known in the art to which the present invention pertains.
Although the embodiments of the present invention have been described above with reference to the drawings, it will be understood by those skilled in the art that the present invention may be embodied in other specific forms without changing the technical spirit or essential features of the invention. It is therefore to be understood that the above-described embodiments are illustrative in all respects, rather than restrictive.
Claims (10)
1. An image acquisition method for body size measurement, which is a method performed by a server, comprising: a step of acquiring images of a front and a side of a user photographed by a photographing device of a terminal, wherein the images are photographed in a state where a body of the user in a photographing interface of the terminal is located within a range of a guide line displayed on the photographing interface of the terminal.
2. The image acquisition method for body size measurement according to claim 1,
the guide line is to guide a user to take a specific posture at a position of a specific distance from the terminal, the guide line is in the shape of the front or side of the human body,
the front guide line is a shape for guiding the arms of the user to be opened at a predetermined angle from the body and guiding the legs of the user to be opened at a predetermined angle,
the server adjusts the shape and size of the guide wire in consideration of the user's body information.
3. A body size measuring method which is a method performed by a server and measuring a body size using an image acquired by the method of claim 1, comprising the steps of:
identifying a region corresponding to a user body from the front and side images of the user, and separating and extracting the edge of the identified region from a background;
an image analysis module analyzes the extracted edge portion and selects a 3D standard body model corresponding thereto; and
acquiring the body size of the user using the selected 3D standard body model,
wherein the image analysis module is to,
front, side, and 3D images of the body of a model having different body conditions are input, thereby learning a method of generating a 3D standard body model using the front and side images of the body.
4. The body size measuring method according to claim 3,
after the selecting step, further comprising the steps of:
the image analysis module corrects the selected 3D standard body model in consideration of at least one of the analysis result of the body information of the user or the analysis result of the edge part,
wherein the step of acquiring the body size is,
acquiring the body size of the user by using the corrected 3D standard body model.
5. The body size measuring method according to claim 4,
the server requests a user connected to the server to input whether a weight is changed or not at a predetermined period, and reacquires a body size of the user using a first method of requesting the user to retake the body or a second method of re-correcting the corrected 3D standard body model in consideration of a weight change amount of the user when the weight is changed more than a critical ratio.
6. The body size measuring method according to claim 3,
the extraction step comprises the following steps:
when it is not recognized that the region of the image corresponding to the user's body or the extracted edge portion does not correspond to the normal body shape, the user is required to re-photograph after correcting the posture or re-photograph after changing clothes.
7. The body size measuring method according to claim 3,
the extracting step further comprises the steps of:
determining and removing an image of clothes worn by a user as noise in the identified body region of the user.
8. A server, comprising:
an image acquisition module that acquires front and side images of a user photographed by a photographing device of a terminal, wherein the images are photographed in a state where a body of the user in a photographing interface of the terminal is located within a range of a guide line displayed on the photographing interface of the terminal.
9. A server, comprising:
an edge extraction section that identifies a region corresponding to the body of the user from the front and side images in claim 8, and separates and extracts an edge portion of the identified region from the background;
an image analysis module for analyzing the extracted edge portion and selecting a corresponding 3D standard body model; and
a calculation section for acquiring a body size of the user using the selected 3D standard body model,
wherein the image analysis module is to,
front, side and 3D images of a body of a model having different body conditions are input to learn a method of generating a 3D standard body model using the front and side images of the body.
10. A program stored in a medium to combine with a computer as hardware and execute the method of any one of claims 1 to 7.
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| KR20200091832A (en) | 2020-07-31 |
| KR20200084780A (en) | 2020-07-13 |
| KR102132721B1 (en) | 2020-07-10 |
| CN113272851A (en) | 2021-08-17 |
| KR102264014B1 (en) | 2021-06-11 |
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